False news detection method based on traffic flow model in vehicular ad hoc network

Abstract

The present invention proposes a false message detection method based on a traffic flow model in a vehicle-mounted ad hoc network, aiming at attacks initiated by attackers within the network who send false alarm messages and forge emergency traffic events, using vehicles in the upstream and downstream sections as verifiers , based on the on-board sensor to observe the local vehicle density, establish a Bayesian decision model to calculate the posterior probability of the real emergency event, and detect false alarm messages; in order to reasonably select the key parameters of the model, a traffic model is established based on the traffic flow theory, using The difference equation represents the dynamic change process of the traffic flow state, and the concept of equilibrium is defined to represent the steady state of vehicle density under the two traffic modes of emergency being true / false, and the derivation method of the equilibrium point is given. Experimental results show that the established traffic model can better predict the dynamic changes of traffic flow, the invention can effectively enhance the accuracy of detection, and at the same time significantly enhance the ability to resist collusion attacks.

Description

technical field [0001] The invention relates to the technical field of vehicle ad hoc network security, in particular to a method for detecting false news based on a traffic flow model in a vehicle ad hoc network. Background technique [0002] Vehicular Ad-hoc Networks (VANETs) is a distributed, self-organizing, heterogeneous wireless multi-hop network composed of vehicle nodes, roadside communication infrastructure and background service centers, such as figure 1 shown. VANETs collect data from on-board sensors through the wireless nodes installed on the vehicle, perceive the vehicle's position, speed, direction and other information, as well as abnormal events such as braking and airbag ejection, and use dedicated short-range communication technology (Dedicated Short Range Communications: DSRC) to realize communication between vehicles. , Multi-hop wireless communication between vehicles and roadside communication infrastructure, so as to exchange, share and publish this ...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the technical problem that the existing VANETs security framework based on message integrity protection and reputation mechanism is difficult to effectively detect and defend against false news attacks initiated by internal adversaries in VANETs, ​​the present invention proposes a false message attack based on traffic flow model in vehicular ad hoc network. The message detection method uses the cooperation of vehicles on the upstream and downstream sections of the scene to observe the local vehicle density and evaluate the authenticity of the alarm message, thereby enhancing the accuracy of the detection mechanism and the ability to resist collusion attacks

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